import inspect
import os
import unittest

import torch

import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment





class UpperCAmelCase		(   unittest.TestCase    ):


				'''simple docstring'''






				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						A_						:							List[str]      = inspect.getfile(accelerate.test_utils   )
						A_						:							List[str]      = os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['scripts', 'test_script.py']   )
						A_						:							List[Any]      = os.path.sep.join(
						    mod_file.split(os.path.sep   )[:-1] + ['scripts', 'test_distributed_data_loop.py']   )
						A_						:							List[str]      = os.path.sep.join(mod_file.split(os.path.sep   )[:-1] + ['scripts', 'test_ops.py']   )
				@require_multi_gpu
				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						print(F'''Found {torch.cuda.device_count()} devices.'''   )
						A_						:							List[Any]      = ['torchrun', F'''--nproc_per_node={torch.cuda.device_count()}''', self.test_file_path]
						with patch_environment(omp_num_threads=1   ):
								execute_subprocess_async(lowercase						,      env=os.environ.copy()   )
				@require_multi_gpu
				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						print(F'''Found {torch.cuda.device_count()} devices.'''   )
						A_						:							str      = ['torchrun', F'''--nproc_per_node={torch.cuda.device_count()}''', self.operation_file_path]
						print(F'''Command: {cmd}'''   )
						with patch_environment(omp_num_threads=1   ):
								execute_subprocess_async(lowercase						,      env=os.environ.copy()   )
				@require_multi_gpu
				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						A_						:							str      = ['torchrun', F'''--nproc_per_node={torch.cuda.device_count()}''', inspect.getfile(self.__class__   )]
						with patch_environment(omp_num_threads=1   ):
								execute_subprocess_async(lowercase						,      env=os.environ.copy()   )







				@require_multi_gpu
				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						print(F'''Found {torch.cuda.device_count()} devices, using 2 devices only'''   )
						A_						:							Tuple      = ['torchrun', F'''--nproc_per_node={torch.cuda.device_count()}''', self.data_loop_file_path]
						with patch_environment(omp_num_threads=1						,      cuda_visible_devices='0,1'   ):
								execute_subprocess_async(lowercase						,      env=os.environ.copy()   )


if __name__ == "__main__":
	_UpperCAmelCase          =						Accelerator()
	_UpperCAmelCase          =						(accelerator.state.process_index + 2, 10)
	_UpperCAmelCase          =						torch.randint(0, 10, shape).to(accelerator.device)

	_UpperCAmelCase          =						""""""

	_UpperCAmelCase          =						accelerator.pad_across_processes(tensor)
	if tensora.shape[0] != accelerator.state.num_processes + 1:
		error_msg += F"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
	if not torch.equal(tensora[: accelerator.state.process_index + 2], tensor):
		error_msg += "Tensors have different values."
	if not torch.all(tensora[accelerator.state.process_index + 2 :] == 0):
		error_msg += "Padding was not done with the right value (0)."

	_UpperCAmelCase          =						accelerator.pad_across_processes(tensor, pad_first=True)
	if tensora.shape[0] != accelerator.state.num_processes + 1:
		error_msg += F"Found shape {tensora.shape} but should have {accelerator.state.num_processes + 1} at dim 0."
	_UpperCAmelCase          =						accelerator.state.num_processes - accelerator.state.process_index - 1
	if not torch.equal(tensora[index:], tensor):
		error_msg += "Tensors have different values."
	if not torch.all(tensora[:index] == 0):
		error_msg += "Padding was not done with the right value (0)."

	# Raise error at the end to make sure we don't stop at the first failure.
	if len(error_msg) > 0:
		raise ValueError(error_msg)







import argparse
import os
import re

import packaging.version


_UpperCAmelCase          =						"""examples/"""
_UpperCAmelCase          =						{
    """examples""": (re.compile(r"""^check_min_version\(\"[^\"]+\"\)\s*$""", re.MULTILINE), """check_min_version(\"VERSION\")\n"""),
    """init""": (re.compile(r"""^__version__\s+=\s+\"([^\"]+)\"\s*$""", re.MULTILINE), """__version__ = \"VERSION\"\n"""),
    """setup""": (re.compile(r"""^(\s*)version\s*=\s*\"[^\"]+\",""", re.MULTILINE), r"""\1version=\"VERSION\","""),
    """doc""": (re.compile(r"""^(\s*)release\s*=\s*\"[^\"]+\"$""", re.MULTILINE), """release = \"VERSION\"\n"""),
}
_UpperCAmelCase          =						{
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
_UpperCAmelCase          =						"""README.md"""




def 							UpperCamelCase		(			__lowercase		:					Dict		,__lowercase		:					Any		,__lowercase		:					Tuple      ):
		'''simple docstring'''




		with open(__lowercase		,'r'		,encoding='utf-8'		,newline='\n'      ) as f:
				A_						:							Dict      = f.read()
		A_  ,     A_						:							Dict      = REPLACE_PATTERNS[pattern]
		A_						:							List[str]      = replace.replace('VERSION'		,__lowercase      )
		A_						:							int      = re_pattern.sub(__lowercase		,__lowercase      )
		with open(__lowercase		,'w'		,encoding='utf-8'		,newline='\n'      ) as f:
				f.write(__lowercase      )




def 							UpperCamelCase		(			__lowercase		:					Union[str, Any]      ):
		'''simple docstring'''




		for folder, directories, fnames in os.walk(__lowercase      ):
				# Removing some of the folders with non-actively maintained examples from the walk
				if "research_projects" in directories:
						directories.remove('research_projects'      )
				if "legacy" in directories:
						directories.remove('legacy'      )
				for fname in fnames:
						if fname.endswith('.py'      ):
								update_version_in_file(os.path.join(__lowercase		,__lowercase      )		,__lowercase		,pattern='examples'      )




def 							UpperCamelCase		(			__lowercase		:					Tuple		,__lowercase		:					Tuple=False      ):
		'''simple docstring'''




		for pattern, fname in REPLACE_FILES.items():
				update_version_in_file(__lowercase		,__lowercase		,__lowercase      )
		if not patch:
				update_version_in_examples(__lowercase      )




def 							UpperCamelCase		(			):
		'''simple docstring'''




		A_						:							Optional[int]      = '🤗 Transformers currently provides the following architectures'
		A_						:							str      = '1. Want to contribute a new model?'
		with open(__lowercase		,'r'		,encoding='utf-8'		,newline='\n'      ) as f:
				A_						:							int      = f.readlines()

		# Find the start of the list.
		A_						:							List[str]      = 0
		while not lines[start_index].startswith(_start_prompt      ):
				start_index += 1
		start_index += 1

		A_						:							List[str]      = start_index
		# Update the lines in the model list.
		while not lines[index].startswith(_end_prompt      ):
				if lines[index].startswith('1.'      ):
						A_						:							str      = lines[index].replace(
						    'https://huggingface.co/docs/transformers/main/model_doc'		,'https://huggingface.co/docs/transformers/model_doc'		,)
				index += 1

		with open(__lowercase		,'w'		,encoding='utf-8'		,newline='\n'      ) as f:
				f.writelines(__lowercase      )




def 							UpperCamelCase		(			):
		'''simple docstring'''




		with open(REPLACE_FILES['init']		,'r'      ) as f:
				A_						:							Any      = f.read()
		A_						:							Union[str, Any]      = REPLACE_PATTERNS['init'][0].search(__lowercase      ).groups()[0]
		return packaging.version.parse(__lowercase      )




def 							UpperCamelCase		(			__lowercase		:					Tuple=False      ):
		'''simple docstring'''




		A_						:							List[Any]      = get_version()
		if patch and default_version.is_devrelease:
				raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'      )
		if default_version.is_devrelease:
				A_						:							Any      = default_version.base_version
		elif patch:
				A_						:							str      = f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
		else:
				A_						:							List[Any]      = f'''{default_version.major}.{default_version.minor + 1}.0'''

		# Now let's ask nicely if that's the right one.
		A_						:							Dict      = input(f'''Which version are you releasing? [{default_version}]'''      )
		if len(__lowercase      ) == 0:
				A_						:							Union[str, Any]      = default_version

		print(f'''Updating version to {version}.'''      )
		global_version_update(__lowercase		,patch=__lowercase      )
		if not patch:
				print('Cleaning main README, don\'t forget to run `make fix-copies`.'      )
				clean_main_ref_in_model_list()




def 							UpperCamelCase		(			):
		'''simple docstring'''




		A_						:							Union[str, Any]      = get_version()
		A_						:							List[str]      = f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
		A_						:							List[str]      = current_version.base_version

		# Check with the user we got that right.
		A_						:							str      = input(f'''Which version are we developing now? [{dev_version}]'''      )
		if len(__lowercase      ) == 0:
				A_						:							Dict      = dev_version

		print(f'''Updating version to {version}.'''      )
		global_version_update(__lowercase      )
		print('Cleaning main README, don\'t forget to run `make fix-copies`.'      )
		clean_main_ref_in_model_list()


if __name__ == "__main__":
	_UpperCAmelCase          =						argparse.ArgumentParser()
	parser.add_argument("""--post_release""", action="""store_true""", help="""Whether this is pre or post release.""")
	parser.add_argument("""--patch""", action="""store_true""", help="""Whether or not this is a patch release.""")
	_UpperCAmelCase          =						parser.parse_args()
	if not args.post_release:
		pre_release_work(patch=args.patch)
	elif args.patch:
		print("""Nothing to do after a patch :-)""")
	else:
		post_release_work()






